ForestsKing

Chengsen Wang's repositories

D3R

PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)

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LstmAE

PyTorch implementation of LstmAE (Outlier Detection for Multidimensional Time Series Using Deep Neural Networks)

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STTN

PyTorch implementation of STTN (Spatial-Temporal Transformer Networks for Traffic Flow Forecasting)

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MTAD_GAT

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Network)

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AnomalyTransformer

PyTorch implementation of AnomalyTransformer (Anomaly transformer: Time series anomaly detection with association discrepancy)

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Paper-Implementation

Implementation code for some papers I have studied.

MIT500

KalmanFilter

Kalman filter implemented in python (numpy & pytorch)

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LLMTIME

PyTorch implementation of LLMTIME (Large Language Models Are Zero-Shot Time Series Forecasters)

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TCN

PyTorch implementation of TCN(An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling)

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TSF-Library

An Open-source Llibrary for Long-term Time Series Forecasting Task.

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ConvLstm

PyTorch implementation of ConvLSTM(Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting)

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MemStream

PyTorch implementation of MemStream (MemStream:Memory-Based Streaming Anomaly Detection)

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Squeeze

PyTorch implementation of Squeeze (Generic and Robust Localization of Multi-dimensional Root Causes)

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VAE_anomaly_dection

PyTorch implementation of VAE-anomaly-dection (Variational Autoencoder based Anomaly Detection using Reconstruction Probability)

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AIOps

Code implementation of my undergraduate graduation project AIOps.

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DCdetector

PyTorch implementation of DCdetector (DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection)

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GDN

About PyTorch implementation of GDN (Graph Neural Network-Based Anomaly Detection in Multivariate Time Series)

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Transformer

PyTorch implementation of Transformer (Attention Is All You Need)

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DDPM

PyTorch implementation of DDPM (Denoising Diffusion Probabilistic Models)

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DeepLog

PyTorch implementation of DeepLog (DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning)

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FedAvg

PyTorch implementation of FedAvg (Communication-Efficient Learning of Deep Networks from Decentralized Data)

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GAT

PyTorch implementation of GAT (Graph Attention Networks)

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GCN

PyTorch implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks)

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GraFITi

PyTorch implementation of GraFITi (GraFITi: Graphs for Forecasting Irregularly Sampled Time Series)

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LTSF-ADS

An Open-source Llibrary for Long-term Time Series Forecasting Alleviating Distribution Shift.

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MemAE

PyTorch implementation of MemAE (Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection)

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PrefixTuning

Prefix Tuning for T5 Small

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SimSiam

PyTorch implementation of SimSiam (Exploring Simple Siamese Representation Learning)

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SupCon

PyTorch implementation of SupCon (Supervised Contrastive Learning) and SimCRL (A Simple Framework for Contrastive Learning of Visual Representations)

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VAE

PyTorch implementation of VAE (Auto-Encoding Variational Bayes)

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